DebugIT

In about half a century of antibiotic use, unexpected new challenges have come to light: fast emergence of resistances among pathogens, misuse and overuse of antibiotics; direct and indirect related costs. Antimicrobial resistance results in escalating healthcare costs, increased morbidity and mortality and the emergence or reemergence of potentially untreatable pathogens.

In this context of infectious diseases DebugIT project will (1) detect patient safety issues, (2) learn how to prevent them and (3) actually prevent them in clinical cases. Harmful patterns and trends using clinical and operational information from Clinical Information Systems (CIS) will be detect. This will be done through the 'view' of a virtualised Clinical Data Re-pository (CDR), featuring, transparent access to the original CIS and/or collection and aggregation of data in a local store. Text, image and structured data mining on individual patients as well as on populations will learn us informational and temporal patterns of patient harm.

This knowledge will be fed into a Medical Knowledge Repository and mixed with knowledge coming from external sources (for example guidelines and evidences). After editing and validating, this knowledge will be used by a decision support and monitoring tool in the clinical environment to prevent patient safety issues and report on it.

Outcomes and benefits, both clinical and economical will be measured and reported on. Innovation within this project lays in the virtualisation of Clinical Data Repository through ontology mediation, the advanced mining techniques, the reasoning engine and the consolidation of all these techniques in a comprehensive but open framework. This framework will be implemented, focused on infectious diseases, but will be applicable for all sorts of clinical cases in the future.

For further information, please visit:
http://www.debugit.eu

Project co-ordinator:
Agfa HealthCare (Belgium)

Partners:

  • empirica
  • Gama Sofia Ltd.
  • Institut National de la Santé et de Recherche Medicale
  • Internetový Pristup Ke Zdravotním Informacím Pacienta
  • Linköping University
  • Technological Educational Institute of Lamia
  • University College London
  • University Hospital of Geneva
  • University Medical Center Freiburg
  • University of Geneva

Timetable: from 01/2008 – to 12/2011

Total cost: €8.364.796

EC funding: €6.414.915

Programme Acronym: FP7-ICT

Subprogramme Area: Advanced ICT for risk assessment and patient safety

Contract type: Collaborative project (generic)


Related news article:

Most Popular Now

Mahana Therapeutics Signs Agreement with…

Mahana Therapeutics, a leading provider of prescription digital therapeutics, announced today that the company has entered into a multi-million-dollar distribution and marketing partnership with the Consumer Health division of Bayer...

ChatGPT can Outperform University Studen…

ChatGPT may match or even exceed the average grade of university students when answering assessment questions across a range of subjects including computer science, political studies, engineering, and psychology, reports...

NHS AI Diagnostic Funding: Five Things t…

Opinion Article by Guilherme Carvalho, Sales & Contracts Manager, Sectra. A new £21 million fund for AI was announced by the UK government in June, with the intention of providing NHS...

ChatGPT Shows Limited Ability to Recomme…

For many patients, the internet serves as a powerful tool for self-education on medical topics. With ChatGPT now at patients’ fingertips, researchers from Brigham and Women’s Hospital, a founding member...

Combining AI Models Improves Breast Canc…

Combining artificial intelligence (AI) systems for short- and long-term breast cancer risk results in an improved cancer risk assessment, according to a study published in Radiology, a journal of the...

AI Predictions for Colorectal Cancer: On…

Colorectal cancer (CRC) ranks second in leading causes of cancer-related deaths globally, according to the WHO. For the first time, researchers from Helmholtz Munich and the University of Technology Dresden...

Healthcare Chatbot: Expand Support with …

The Danish eHealth platform, sundhed.dk, has faced a substantial surge in requests from Danish citizens and has swiftly expanded its support and effectively adapt to the ongoing changes in queries due...

ChatGPT Shows 'Impressive' Acc…

A new study led by investigators from Mass General Brigham has found that ChatGPT was about 72 percent accurate in overall clinical decision making, from coming up with possible diagnoses...

WiFi SPARK's Healthcare Business Re…

Leading WiFi provider WiFi SPARK is rebranding its healthcare arm as SPARK Technology Services Limited. The new identity marks the completion of the integration of the former Hospedia bedside unit...

AI Performs Comparably to Human Readers …

Using a standardized assessment, researchers in the UK compared the performance of a commercially available artificial intelligence (AI) algorithm with human readers of screening mammograms. Results of their findings were...

ChatGPT is Debunking Myths on Social Med…

ChatGPT could help to increase vaccine uptake by debunking myths around jab safety, say the authors of a study published in the peer-reviewed journal Human Vaccines and Immunotherapeutics. The researchers asked...

Online AI-Based Test for Parkinson'…

An artificial intelligence (AI) tool developed by researchers at the University of Rochester can help people with Parkinson's disease remotely assess the severity of their symptoms within minutes. A study...